Atharva Sherekar Email & Phone Number

Experienced Data Science professional with close to 3 years of experience in problem-solving and delivering solutions to several Fortune 100 clients across Technology, Banking, Telecom, and Pharma sectors. Strengths in Machine Learning, Advanced Analytics, Statistics, Mathematical Solution Design, and Consulting backed by cross-vertical exposure. Often applauded for my ability to perform effectively under pressure, grasp new concepts quickly, and utilize technical skills in R, Python, and SQL to solve complex problems & gather impactful insights. Balanced personality with a keen interest in sports and astronomy.Key projects:• Built end-to-end ML frameworks for Customer Targeting, Customer Churn Prediction, and Net-new Customer Targeting, and moved them to production• Designed and created multiple Power BI Dashboards to showcase insights and findings from Driver Analysis, and Predictive Modelling using Classification Machine Learning Algorithms and Hypothesis Testing• Consulting experience in building a 'Solution Universe' for a banking firm by carrying out extensive field surveys, customer interviews, and interactions with managers and other stakeholders.• Engineering a mathematical approach, intuitive and harmonized data flow processes, consumable reports, and data governance modules to convert inapplicable forecast predictions into useful and actionable numbers• Creating a categorization algorithm using NLP - contextualizing and segregating a wide variety of financial news into the required categories• Building a feed personalization model for a Fintech platform to ensure a dynamic and personalized experience for the user in line with his/her interests.• Managed data modeling and data architecture projects using advanced dimensional techniques in dimensional data warehouses to allow stakeholders to capture the changing data within the dimension over timeKey Skills : • Strong knowledge and skills in Data Science, Machine Learning, Data Engineering & Statistics .• Proficiency in R, Python and Experience with Supervised and Unsupervised Classification Techniques, demand forecasting, supply chain optimization, driver analysis, time series analysis, statistical models, regression models and deep learning models• Ability to synthesize research literature, compare/contrast/critique and combine ideas into creating new ML models.• Experience solving business problems using ML, and identifying novel ML-driven solutions for business problems.• Experience implementing & profiling ML solutions on large-scale systems.